quality variation from sample

简明释义

品质与样品不符

英英释义

例句

1.To improve our product, we need to minimize the quality variation from sample observed in recent tests.

为了改善我们的产品，我们需要尽量减少最近测试中观察到的样本质量变异。

2.The report highlighted the quality variation from sample as a key factor affecting customer satisfaction.

报告强调了样本质量变异是影响客户满意度的关键因素。

3.When analyzing the data, we found that the quality variation from sample was within acceptable limits.

在分析数据时，我们发现样本质量变异在可接受的范围内。

4.The lab results showed a significant quality variation from sample, indicating potential issues in the manufacturing process.

实验室结果显示存在显著的样本质量变异，这表明生产过程中可能存在问题。

5.The team conducted a thorough investigation into the quality variation from sample reported by clients.

团队对客户报告的样本质量变异进行了彻底调查。

作文

In the field of quality control and assurance, understanding the concept of quality variation from sample is crucial for businesses striving to maintain high standards in their products. 质量变异来自样本 refers to the differences in quality that can occur when measuring or assessing samples taken from a larger population. This variation can be attributed to numerous factors, including the inherent characteristics of the materials, the methods used for sampling, and even the human element involved in the assessment process.When a company produces goods, it often cannot test every single item due to time and cost constraints. Instead, they rely on sampling techniques to select a representative subset of products for evaluation. However, this introduces the possibility of quality variation from sample, which means that the quality of the sampled items may not accurately reflect the quality of the entire batch. For instance, if a manufacturer produces thousands of bottles of a beverage, testing only a few bottles might lead to results that either overestimate or underestimate the overall quality of the product.To mitigate the risks associated with quality variation from sample, companies must implement rigorous sampling strategies. Statistical methods can help determine the appropriate sample size and ensure that the samples are randomly selected. This approach minimizes bias and provides a more accurate representation of the entire production lot. Additionally, employing standardized testing procedures can further reduce discrepancies in quality assessment.Another important aspect to consider is the role of measurement error in quality variation from sample. Even with a well-designed sampling method, the tools and techniques used to measure quality can introduce variability. For example, if a scale used to weigh products is not calibrated correctly, it could yield inconsistent results, leading to an inaccurate perception of quality. Therefore, regular maintenance and calibration of measurement instruments are essential to ensure reliable data.Moreover, understanding quality variation from sample can also aid in identifying trends over time. By analyzing the quality data collected from various samples, companies can detect patterns that may indicate underlying issues in the production process. For example, if a particular product consistently shows quality variation in certain batches, it may prompt an investigation into the manufacturing conditions or raw materials used during that period.In conclusion, the concept of quality variation from sample plays a vital role in quality management practices. It highlights the importance of careful sampling and measurement techniques in obtaining accurate assessments of product quality. By acknowledging and addressing the potential for variation, businesses can improve their quality control processes, leading to enhanced customer satisfaction and loyalty. Ultimately, understanding and managing 质量变异来自样本 is essential for any organization committed to delivering high-quality products to its consumers.